Dynamic performance prediction of hywind floating wind turbine based on SADA method and full-scale measurement data

Chen, P; Hu, ZQ; Hu, CH

doi:10.1201/9781003320289-37

Dynamic performance prediction of hywind floating wind turbine based on SADA method and full-scale measurement data

Lookup NU author(s): Professor Zhiqiang Hu ORCiD

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Abstract

© 2022 the Author(s). The highly coupled nonlinear performances of Floating Wind Turbines (FWTs) bring many challenges to the design and optimization of FWTs. This paper aims introduce a case study by using full-scale data through the SADA method and the full-scale data was collected by one of Hywind FWTs in Scotland. The methodology of the SADA method was first proposed by Chen and Hu, which consists of KDPs concepts, the DARwind program, and the application of AI algorithms. In this paper, the dynamic performance of Hywind FWT will be discussed in terms of platform motions, tower top, and blade tip deformation. The results show that SADA can predict the supporting floater motions with higher accuracy, though some design parameters are not accessible, and the numerical models are simplified. In summary, the SADA is a reliable and cost-effective method for dynamic performance analysis of FWTs, which can bring an innovative vision in engineering applications.